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SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks.

, , , and . CVPR, page 4300-4309. Computer Vision Foundation / IEEE Computer Society, (2018)

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DarwiNN: efficient distributed neuroevolution under communication constraints., , , and . GECCO Companion, page 141-142. ACM, (2020)Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs., , , , , , , , , and 1 other author(s). CoRR, (2018)LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications., , , and . FPL, page 291-297. IEEE, (2020)ACCL+: an FPGA-Based Collective Engine for Distributed Applications., , , , , , , and . OSDI, page 211-231. USENIX Association, (2024)Architectural Comparison of Instruments for Transaction Level Monitoring of FPGA-Based Packet Processing Systems., , and . FCCM, page 175-182. IEEE Computer Society, (2009)Corrigendum: Applications and techniques for fast machine learning in science., , , , , , , , , and 37 other author(s). Frontiers Big Data, (2024)Debugging FPGA-based packet processing systems through transaction-level communication-centric monitoring., , and . LCTES, page 129-136. ACM, (2009)QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware., , , and . ACM J. Emerg. Technol. Comput. Syst., 15 (4): 37:1-37:38 (2019)Applications and Techniques for Fast Machine Learning in Science., , , , , , , , , and 37 other author(s). Frontiers Big Data, (2022)Dataflow architectures for 10Gbps line-rate key-value-stores., and . Hot Chips Symposium, page 1-25. IEEE, (2013)